“MedEd” on Twitter: A Social Network Analysis

Background. In the current era, Twitter is an increasingly popular tool for dissemination of information as a social media voice. Social valid, but underutilized, education at medical institutions. technologies provide opportunities presentation in alternative and multiple formats to enhance engagement, content creation, motivation individual collaborative learning.
 Objective. This study examined type structure sub-clusters do exist regarding “MedEd” on network. Additionally, it determined top opinion leaders these networks which topics generates users’ interest “MedEd”.
 Methods. applied NodeXL analyze results retrieved data November 1, 2022 by using keywords “MedEd”. The were saved interpreted “vertices” “edges” worksheets.
 Results. We found that leader (vertex) “Cryptovitas” had highest in- betweenness out-degree centrality. “Innov_medicine” in-degree centrality networks. “In-Degree” “Out-Degree” are count Tweets gets forwards messages out, correspondingly. although in-betweenness centrality, “taylorswift13” maximum number followers (91,523,045) with 0.0. indicates vertex having influence largest has not linked several followers.
 Conclusions. Using embodies potential prospect engage community. networks’ tweets was around innovations significantly improve delivery innovative healthcare services. There no link between strength Although clinical there, much discussed curriculum reforms, continued professional development, technical issues MedEd, assessments. triggers insistence rapid adaptations new learning environments remarkable revolutions education, including encouragement evidence-based education. discussions promoted research network circulating wide range informative collaborations.